Impact of Chemical Speciation Network method changes on time series ion and carbon species concentrations

Numerous studies rely on long-term PM<sub>2.5</sub> speciation data from the EPA's Chemical Speciation Network (CSN), for example, to estimate health impacts or investigate the sources and transport of PM<sub>2.5</sub> pollution. These studies rely on consistent, long-term time series measurements of PM<sub>2.5</sub> species to draw conclusions about PM<sub>2.5</sub> emissions sources and their health impacts. However, changes in contractors and associated methodological changes in 2015 and 2018 led to disruptions in the consistency of the CSN data, specifically, concentration discontinuities in the CSN time series for ions and elemental carbon (EC) from November 2015 to September 2018 and from October 2018 onward, respectively. To address the impact of these changes on downstream air quality and health analyses, this study developed correction factors by comparing collocated CSN measurements to measurements from the Interagency Monitoring of Protected Visual Environment (IMPROVE) network, which used consistent instrumentation and contractors throughout the study period. These correction factors reduced the discontinuities in the ions and EC concentration time series data, which could be critical for time series source apportionment receptor modeling, air pollution policy and accountability investigations, and health effect studies.

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Publication Details

Journal
Aerosol Science and Technology
Published
2024-08-12
DOI
https://doi.org/10.1080/02786826.2024.2384921
Citations
4
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
1.26

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article

Impact of Chemical Speciation Network method changes on time series ion and carbon species concentrations

Kamaljeet Kaur, Cesunica E. Ivey, Heather A. Holmes, Jenna R. Krall et al.
4 citations
Aerosol Science and Technology
Air Quality and Health Impacts
1.26
article

Impact of Chemical Speciation Network method changes on time series ion and carbon species concentrations

Kamaljeet Kaur, Cesunica E. Ivey, Heather A. Holmes, Jenna R. Krall, Kerry E. Kelly
article en
4 citations

Abstract

Numerous studies rely on long-term PM<sub>2.5</sub> speciation data from the EPA's Chemical Speciation Network (CSN), for example, to estimate health impacts or investigate the sources and transport of PM<sub>2.5</sub> pollution. These studies rely on consistent, long-term time series measurements of PM<sub>2.5</sub> species to draw conclusions about PM<sub>2.5</sub> emissions sources and their health impacts. However, changes in contractors and associated methodological changes in 2015 and 2018 led to disruptions in the consistency of the CSN data, specifically, concentration discontinuities in the CSN time series for ions and elemental carbon (EC) from November 2015 to September 2018 and from October 2018 onward, respectively. To address the impact of these changes on downstream air quality and health analyses, this study developed correction factors by comparing collocated CSN measurements to measurements from the Interagency Monitoring of Protected Visual Environment (IMPROVE) network, which used consistent instrumentation and contractors throughout the study period. These correction factors reduced the discontinuities in the ions and EC concentration time series data, which could be critical for time series source apportionment receptor modeling, air pollution policy and accountability investigations, and health effect studies.

Aerosol Science and TechnologyVol. 58(11)
George Mason University (US), University of Utah (US), University of California, Berkeley (US)
National Institutes of Health, National Institute of Environmental Health Sciences
Openalex Percentile: Top 21%
Air Quality and Health Impacts
1.26
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